CARVIEW |
Earn Rewards, Reputation, and Badges
Redeem the reputation points you've earned from participating in O'Reilly Answers for O'Reilly ebooks, videos, courses, and conferences.
Learn more »
Recommended for You
Topics: cluster
cluster Feed
cluster Open Questions Feed
cluster Email
Open Questions via Email

Please sign in or register to post.

Please sign in or register to post.
-
How to Create a VMware Cluster
By adfm: 24 May 2010 - 10:14 AM
Managing multiple ESX Servers is easy with the VMware. This excerpt from Troy & Helmke's VMware Cookbook will guide you through the process of creating a cluster with the vCenter client. If you ...
-
Big Data -- A link roundup
By adfm: 08 December 2009 - 12:07 AM
Big Data is when your data is so large you seriously have to consider how you're going to organize, store, and manage it in order to gain some benefit from it. Here are a few links to get you star...
-
Practical Techniques for Developing with Pig and Hadoop
By tomwhite: 28 October 2009 - 12:46 PM
There are some practical techniques that are worth knowing about when you are developing and running Pig programs. This section covers some of them.ParallelismWhen running in Hadoop mode...
-
How to Benchmark a Hadoop Cluster
By tomwhite: 28 October 2009 - 12:24 PM
Is the cluster set up correctly? The best way to answer this question is empirically: run some jobs and confirm that you get the expected results. Benchmarks make good tests, as you also...
-
Anatomy of a MapReduce Job Run with Hadoop
By tomwhite: 28 October 2009 - 12:16 PM
You can run a MapReduce job with a single line of code: JobClient.runJob(conf). It’s very short, but it conceals a great deal of processing behind the scenes. This section u...
-
Get Started Analyzing Data with Hadoop
By tomwhite: 28 October 2009 - 11:14 AM
To take advantage of the parallel processing that Hadoop provides, we need to express our query as a MapReduce job. After some local, small-scale testing, we will be able to run it on a ...
- 1
![]() ©2010, O'Reilly Media, Inc. (707) 827-7000 / (800) 998-9938 All trademarks and registered trademarks appearing on oreilly.com are the property of their respective owners. |
|